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multiview video coding using view interpolation and color correction

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 2007年第11期17卷 1436-1449页

作者： Yamamoto, Kenji Kitahara, Masaki Kimata, Hideaki Yendo, Tomohiro Fujii, Toshiaki Tanimoto, Masayuki Shimizu, Shinya Kamikura, Kazuto Yashima, Yoshiyuki Nagoya Univ Nagoya Aichi 4648603 Japan NTT Adv Technol Corp Kanagawa 2390847 Japan NTT Corp NTT Cyber Space Labs Yokosuka Kanagawa 2390847 Japan Tokyo Inst Technol Tokyo 1528550 Japan

Neighboring views must be highly correlated in multview video systems. We should therefore use various neighboring views to efficiently compress videos. There are many approaches to doing this. However, most of these treat pictures of other views in the same way as they treat pictures of the current view, i.e., pictures of other views are used as reference pictures (inter-view prediction). We introduce two approaches to improving compression efficiency in this paper. The first is by synthesizing pictures at a given time and a given position by using view interpolation and using them as reference pictures (view-interpolation prediction). In other words, we tried to compensate for, geometry to obtain precise predictions. The second approach is to correct the luminance and chrominance of other views by using lookup tables to compensate for photoelectric variations in individual cameras. We implemented these ideas in H.264/AVC with inter-view prediction and confirmed that they worked well. The experimental results revealed that these ideas can reduce the number of generated bits by approximately 15 % without loss of PSNR.

关键词： color correction H.264/AVC inter-view prediction multiview video coding view interpolation prediction

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multiview video coding USING PROJECTIVE RECTIFICATION-BASED VIEW EXTRAPOLATION AND SYNTHESIS BIAS CORRECTION

MULTIVIEW VIDEO CODING USING PROJECTIVE RECTIFICATION-BASED ...

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IEEE International Conference on Multimedia and Expo

作者： Pang, Derek Xiu, Xiaoyu Liang, Jie Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)9781424442904

Current view synthesis prediction (VSP) techniques for multiview video coding (MVC) rely on disparity-based view interpolation or depth-based 3D warping. The former cannot be applied to every camera view, whereas the latter may require coding of the depth information of a scene. To avoid these constraints, we propose an improved VSP-based MVC scheme based on the following three techniques: 1) view extrapolation, which allows VSP to be applicable to almost all camera views, 2) projective rectification, which improves the synthesis quality when neighboring camera planes are not parallel, and 3) synthesis bias correction, which uses the past synthesis biases to improve the synthesis quality of the current frame. Experimental results demonstrate that our scheme offers PSNR gains of up to 1.6 dB compared to the current MVC standard.

关键词： multiview video coding View Synthesis Prediction View Extrapolation View Rectification

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multiview video coding Algorithm Based On HBP Prediction Structure

Multiview Video Coding Algorithm Based On HBP Prediction Str...

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9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)

作者： Song, Yuxin Jia, Kebin Beijing Univ Technol Coll Elect Informat & Control Engn Beijing Peoples R China

ISBN: (纸本)9780769551203

To reduce the heavy computational complexity of uni-directional and bi-directional predictions in multiview video coding (MVC), this paper proposes a multiview video coding algorithm. Uni-directional prediction is optimized. By using the geometry relationship between disparity and motion vectors, an iterative process is preformed. In each process, a new adaptive search range is used to revise motion/disparity vector. At last, optimal motion and disparity vectors are achieved. For bi-directional prediction, TZSearch algorithm is utilized to accelerate prediction. Furthermore, an early termination strategy is devised on the basis of relationships among bi-directional prediction, model error, quantization parameter and temporal level. Experimental results show that computational complexity can be significantly reduced while maintaining video coding performance compared with JMVC full search algorithm.

关键词： multiview video coding motion estimation disparity compensation bi-directional prediction

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Fast Inter Mode Decision Based on Textural Segmentation and Correlations for multiview video coding

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2010年第3期56卷 1696-1704页

作者： Zhu, Wei Tian, Xiang Zhou, Fan Chen, Yaowu Zhejiang Univ Inst Adv Digital Technol & Instrument Hangzhou 310027 Peoples R China

multiview video coding (MVC) plays a critical role in reducing the ultra high data bandwidth of 3-D video. However, the heavy computational complexity of MVC slows down its applications. In this paper, a fast Inter mode decision based on textural segmentation and correlations is presented: Firstly, each frame is segmented into three textural regions based on the correlation between textural complexities and Intra mode Rate-Distortion (RD) costs, and the correlation of Intra mode RD costs between views. Then, by using textural region types and the correlation of Skip mode RD costs between views, an early decision of Skip mode is introduced. Thirdly, by utilizing Inter16x16 mode prediction results and textural region types, the disparity estimation of other Inter modes is selected. Finally, the estimation of Inter8x8 mode can be reduced according to textural region types and motion activity. As compared to the full mode decision in MVC reference software, experimental results show that the proposed algorithm can reduce 55 similar to 70% of the computational time, while maintaining high RD performance(1).

关键词： multiview video coding 3-D video textural segmentation mode decision disparity estimation

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Rectification-Based View Interpolation and Extrapolation for multiview video coding

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 2011年第6期21卷 693-707页

作者： Xiu, Xiaoyu Pang, Derek Liang, Jie Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

In this paper, we first develop improved projective rectification-based view interpolation and extrapolation methods, and apply them to view synthesis prediction-based multiview video coding (MVC). A geometric model for these view synthesis methods is then developed. We also propose an improved model to study the rate-distortion (R-D) performances of various practical MVC schemes, including the current joint multiview video coding standard. Experimental results show that our schemes achieve superior view synthesis results, and can lead to better R-D performance in MVC. Simulation results with the theoretical models help explaining the experimental results.

关键词： multiview video coding rate-distortion theory view extrapolation view interpolation

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Fast Mode Decision for multiview video coding Using Mode Correlation

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 2011年第11期21卷 1659-1666页

作者： Zeng, Huanqiang Ma, Kai-Kuang Cai, Canhui Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Huaqiao Univ Inst Informat Sci & Technol Quanzhou 362021 Peoples R China

Exhaustive mode decision has been exploited in multiview video coding for effectively improving the coding efficiency, but at the expense of yielding much higher computational complexity. In this paper, a fast mode decision algorithm, called the mode correlation-based mode decision (MCMD), is proposed to speed up the encoding process by reducing the number of the modes required to be checked. In our approach, all the prediction modes are first categorized into five motion-activity classes, and only one of them will be chosen to identify the optimal mode in a hierarchical manner, as follows. For each macroblock (MB), the proposed MCMD algorithm always begins with checking whether the rate-distortion cost computed at the SKIP mode (i.e., Class 1) is below an adaptive threshold for providing a possible early termination chance. If this early termination condition is not met, one of the remaining four motion-activity classes will be chosen for further mode checking according to the analysis of the predicted motion vector (PMV) of the current MB. The above-mentioned adaptive threshold and PMV are derived by exploiting the mode correlation between the current MB and a set of adjacent MBs (i.e., region of support) in the current view and its neighboring view. Experimental results have shown that compared with exhaustive mode decision, which is a default approach set in the joint multiview video model (JMVM) reference software, the proposed MCMD algorithm achieves a reduction of the computational complexity by 73.39% on average, while incurring only 0.07 dB loss in peak signal-to-noise ratio (PSNR) and 2.22% increment on the total bit rate.

关键词： Early termination JMVM mode correlation mode decision motion activity multiview video coding

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Fast macroblock encoding algorithm based on rate-distortion activity for multiview video coding

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2014年第10期29卷 1063-1078页

作者： Zhu, Wei Zheng, Yayu Chen, Peng Feng, Jie Zhejiang Univ Technol Coll Informat Engn Hangzhou 310023 Zhejiang Peoples R China Zhejiang Sci Tech Univ Sch Informat & Elect & Elect Hangzhou 310018 Peoples R China

multiview video coding (MVC) is the appendix H of H.264/AVC, and it requires a great amount of time to compress multiple viewpoints' video with complex prediction structures. To reduce the whole computational complexity of MVC, this paper proposes a fast macroblock (MB) encoding algorithm based on rate-distortion (RD) activity, and it includes the fast mode decision and the fast motion/disparity estimation. First, the RD activity type of the current MB is calculated by utilizing the Skip/Direct RD cost and the average RD costs of classified MB modes. Then, through utilizing the RD activity type and RD costs of the estimated modes, the selection of candidate modes, the early decision of Skip/Direct mode, and the reduction of Inter8 x 8 mode estimation are all presented in the fast mode decision. By using the RD activity type and the correlations of vectors, the selection of search center and the prediction of search range are introduced in the fast motion/disparity estimation. In addition, the proposed algorithm can be applied to temporal and inter-view views as well as anchor and non-anchor frames. An experiment with a wide range of video scenes, camera setups and quantization parameters was implemented, and the results confirmed that the proposed algorithm can reduce the encoding time significantly while maintaining a similar RD performance as the original MVC encoder. Compared to the state-of-the-art algorithms, the proposed algorithm also demonstrated better performances in the various test cases. (C) 2014 Elsevier B.V. All rights reserved.

关键词： multiview video coding Mode decision Motion estimation Disparity estimation

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A Low Complexity Deblocking Filtering for multiview video coding

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2013年第3期59卷 666-671页

作者： Wang, Yongfang Zhang, Wei Zhang, Zhaoyang An, Ping Shanghai Univ Key Lab Adv Display & Syst Applicat Minist Educ Shanghai 200072 Peoples R China Huazhong Univ Sci & Technol Dept Elect & Informat Engn Wuhan 430074 Hubei Peoples R China

Deblocking filtering (DF) plays a major role in improving the visual quality for image and video coding. A well-designed DF scheme should achieve a good tradeoff between coding efficiency and coding complexity. The DF algorithm for multiview video coding (MVC) has adopted H. 264 DF scheme to improve the video quality, which, however, leads to relatively high coding complexity. In this paper, we propose a low complexity DF algorithm in consideration of view correlation, which exploits the view correlation to skip the boundary strength (BS) computation of macroblocks (MBs) that are coded in motion skip mode. Experimental results show that the proposed algorithm can dramatically reduce DF time (35%-6%) without degrading the visual quality in comparison to the conventional algorithm(1).

关键词： Deblocking filtering multiview video coding motion skip mode boundary strength

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Adaptive multiview video coding Scheme Based on Spatiotemporal Correlation Analyses

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ETRI JOURNAL 2009年第2期31卷 151-161页

作者： Zhang, Yun Jiang, Gang Yi Yu, Mei Ho, Yo Sung Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Chinese Acad Sci Grad Sch Beijing Peoples R China Ningbo Univ Fac Informat Sci & Engn Ningbo Zhejiang Peoples R China Gwangju Inst Sci & Technol Dept Informat & Commun Kwangju South Korea

In this paper, we propose an adaptive multiview video coding scheme based on spatiotemporal correlation analyses using hierarchical B picture (AMVC-HBP) for the integrative encoding performances, including high compression efficiency, low complexity, fast random access, and view scalability, by integrating multiple prediction structures. We also propose an in-coding mode-switching algorithm that enables AMVC-HBP to adaptively select a better prediction structure in the encoding process without any additional complexity. Experimental results show that AMVC-HBP outperforms the previous multiview video coding scheme based on H.264/MPEG4 AVC using the hierarchical B picture (MVC-HBP) on low complexity for 21.5%, on fast random access for about 20%, and on view scalability for 11% to 15% on average. In addition, distinct coding gain can be achieved by AMVC-HBP for dense and fast-moving sequences compared with MVC-HBP.

关键词： multiview video coding correlation analyses random access view scalability in-coding mode switching

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View scalable multiview video coding using 3-d warping with depth map

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 2007年第11期17卷 1485-1495页

作者： Shimizu, Shinya Kitahara, Masaki Kimata, Hideaki Kamikura, Kazuto Yashima, Yoshiyuki NTT Corp NTT Cyber Space Labs Kanagawa Japan NTT Adv Technol Corp Yokohama Kanagawa Japan

multiview video coding demands high compression rates as well as view scalability, which enables the video to be displayed on a multitude of different terminals. In order to achieve view scalability, it is necessary to limit the inter-view prediction structure. In this paper, we propose a new multiview video coding scheme that can improve the compression efficiency under such a limited inter-view prediction structure. All views are divided into two groups in the proposed scheme: base view and enhancement views. The proposed scheme first estimates a view-dependent geometry of the base view. It then uses a video encoder to encode the video of base view. The view-dependent geometry is also encoded by the video encoder. The scheme then generates prediction images of enhancement views from the decoded video and the view-dependent geometry by using image-based rendering techniques, and it makes residual signals for each enhancement view. Finally, it encodes residual signals by the conventional video encoder as if they were regular video signals. We implement one encoder that employs this scheme by using a depth map as the view-dependent geometry and 3-D warping as the view generation method. In order to increase the coding efficiency, we adopt the following three modifications: 1) object-based interpolation on 3-D warping;2) depth estimation with consideration of rate-distortion costs;and 3) quarter-pel accuracy depth representation. Experiments show that the proposed scheme offers about 30 % higher compression efficiency than the conventional scheme, even though one depth map video is added to the original multiview video.

关键词： 3-D warping depth map multiview video coding view scalability

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